The 2020 Conference on Artificial Life 2020
DOI: 10.1162/isal_a_00302
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Modelling the Social Buffering Hypothesis in an Artificial Life Environment

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Cited by 4 publications
(24 citation statements)
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“…To summarise, we found a significant relationship between the (type of) physiological adaptation experienced by socially-bonded agents (the different types of "social buffering" mechanisms), their subsequent interactions with the social and physical environment, and the ability for unbonded agents to adapt to the (social and physical) environment; underpinned by (positive) affective contagion which played a causal role in improving the wellbeing of agents without social support. Though there may be additional behavioural dynamics to consider than those discussed, our findings nevertheless emphasise the importance of investigating micro (and meso-)level interactions between agents and the environments to understand emergent social dynamics; a point we have also made previously (Khan et al, 2020).…”
Section: Stress-regulation "Social Buffering" and Affective Contagionmentioning
confidence: 55%
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“…To summarise, we found a significant relationship between the (type of) physiological adaptation experienced by socially-bonded agents (the different types of "social buffering" mechanisms), their subsequent interactions with the social and physical environment, and the ability for unbonded agents to adapt to the (social and physical) environment; underpinned by (positive) affective contagion which played a causal role in improving the wellbeing of agents without social support. Though there may be additional behavioural dynamics to consider than those discussed, our findings nevertheless emphasise the importance of investigating micro (and meso-)level interactions between agents and the environments to understand emergent social dynamics; a point we have also made previously (Khan et al, 2020).…”
Section: Stress-regulation "Social Buffering" and Affective Contagionmentioning
confidence: 55%
“…Screenshots of these worlds are seen in Figure 5. Social Bond Combinations: In line with our previous study (Khan et al, 2020), we test three different combinations of agents that share an affective social bond (Fig. 4, i.e.…”
Section: Experiments and Resultsmentioning
confidence: 97%
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